117 lines
3.5 KiB
Ruby
117 lines
3.5 KiB
Ruby
# frozen_string_literal: true
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module ::DiscourseAi
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module Inference
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class OpenAiCompletions
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TIMEOUT = 60
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CompletionFailed = Class.new(StandardError)
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def self.perform!(
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messages,
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model,
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temperature: nil,
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top_p: nil,
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max_tokens: nil,
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user_id: nil
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)
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url = URI("https://api.openai.com/v1/chat/completions")
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headers = {
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"Content-Type" => "application/json",
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"Authorization" => "Bearer #{SiteSetting.ai_openai_api_key}",
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}
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payload = { model: model, messages: messages }
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payload[:temperature] = temperature if temperature
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payload[:top_p] = top_p if top_p
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payload[:max_tokens] = max_tokens if max_tokens
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payload[:stream] = true if block_given?
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Net::HTTP.start(
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url.host,
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url.port,
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use_ssl: true,
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read_timeout: TIMEOUT,
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open_timeout: TIMEOUT,
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write_timeout: TIMEOUT,
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) do |http|
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request = Net::HTTP::Post.new(url, headers)
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request_body = payload.to_json
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request.body = request_body
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http.request(request) do |response|
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if response.code.to_i != 200
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Rails.logger.error(
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"OpenAiCompletions: status: #{response.code.to_i} - body: #{response.body}",
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)
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raise CompletionFailed
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end
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log =
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AiApiAuditLog.create!(
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provider_id: AiApiAuditLog::Provider::OpenAI,
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raw_request_payload: request_body,
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user_id: user_id,
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)
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if !block_given?
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response_body = response.read_body
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parsed_response = JSON.parse(response_body, symbolize_names: true)
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log.update!(
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raw_response_payload: response_body,
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request_tokens: parsed_response.dig(:usage, :prompt_tokens),
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response_tokens: parsed_response.dig(:usage, :completion_tokens),
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)
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return parsed_response
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end
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begin
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cancelled = false
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cancel = lambda { cancelled = true }
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response_data = +""
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response_raw = +""
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response.read_body do |chunk|
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if cancelled
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http.finish
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return
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end
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response_raw << chunk
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chunk
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.split("\n")
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.each do |line|
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data = line.split("data: ", 2)[1]
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next if !data || data == "[DONE]"
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if !cancelled && partial = JSON.parse(data, symbolize_names: true)
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response_data << partial.dig(:choices, 0, :delta, :content).to_s
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yield partial, cancel
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end
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end
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rescue IOError
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raise if !cancelled
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ensure
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log.update!(
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raw_response_payload: response_raw,
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request_tokens:
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DiscourseAi::Tokenizer::OpenAiTokenizer.size(extract_prompt(messages)),
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response_tokens: DiscourseAi::Tokenizer::OpenAiTokenizer.size(response_data),
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)
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end
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end
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end
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end
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end
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def self.extract_prompt(messages)
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messages.map { |message| message[:content] || message["content"] || "" }.join("\n")
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end
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end
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end
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end
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